• Title: Mastering OpenCV 4: A Comprehensive Guide to Building Computer Vision and Image Processing Applications with C++, 3rd Edition
• Author(s) Roy Shilkrot (Author), David Millan Escriva (Author)
• Publisher: Packt Publishing (December 27, 2018); eBook (Free Edition)
• Permission: Free eBook by the Publisher (Packt)
• Paperback: 280 pages
• eBook: HTML
• Language: English
• ISBN-10: 1789533570
• ISBN-13: 978-1789533576
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Book Description

This book targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks.

• Learn about the new features that help unlock the full potential of OpenCV 4
• Build face detection applications with a cascade classifier using face landmarks
• Create an optical character recognition (OCR) model using deep learning and convolutional neural networks

This book is for those who have a basic knowledge of OpenCV and are competent C++ programmers. You need to have an understanding of some of the more theoretical/mathematical concepts, as we move quite quickly throughout the book.

• Roy Shilkrot is an assistant professor of computer science at Stony Brook University, where he leads the Human Interaction group.
• David Millan Escriva was eight years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations.

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• Computer and Machine Vision
• C++ Programming
• Digital Signal Processing (DSP), Sound and Imaging Processing

• Mastering OpenCV 4: A Comprehensive Guide to Building Computer Vision and Image Processing Applications with C++, 3rd Edition (Roy Shilkrot, et al)

• Modern Robotics with OpenCV (Widodo Budiharto)
• Programming Computer Vision with Python: Tools and Algorithms
• Computer Vision: Models, Learning, and Inference (Simon J. D. Prince)
• Computer Vision: Algorithms and Applications (Richard Szeliski)